Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Модель DINO× | Fuzzy-Set Qualitative Comparative Analysis× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 2006 | 2000 |
| Автор методу≠ | James Templin, Russell Henson | Charles Ragin |
| Тип≠ | Disjunctive latent class model | Set-theoretic configurational method |
| Основоположне джерело≠ | Templin, J., & Henson, R. A. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11(3), 287-305. DOI ↗ | Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗ |
| Інші назви≠ | DINO | fsQCA, FSQCA |
| Пов'язані | 4 | 4 |
| Підсумок≠ | The DINO Model (Deterministic Inputs, Noisy Outputs—Disjunctive) is a cognitive diagnostic model that relaxes DINA's conjunctive (AND) skill requirement logic. DINO assumes an examinee only needs to master one of multiple possible skill pathways to answer an item correctly, making it suitable for scenarios where skills are substitutable or alternative routes to success exist. | Fuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables. |
| ScholarGateНабір даних ↗ |
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